Real-time
Two-way sync
Changes in Datadog or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Datadog to Google AlloyDB integration — real-time, two-way sync
Keep Datadog and Google AlloyDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Datadog and Google AlloyDB
Keep Google AlloyDB and Datadog in step: the rows in your database and the Service Level Objectives, Hosts, Monitors, Logs your engineering tools track stay consistent in real time, in both directions.
Google AlloyDB is where your application's durable data lives; Datadog is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Replication Slots, Databases, Schemas, Tables in Google AlloyDB with Service Level Objectives, Hosts, Monitors, Logs in Datadog field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Migrate workloads from self-managed Postgres while keeping existing syncs pointed at a compatible endpoint.
- 02 Mirror CRM objects into AlloyDB tables so product and internal tools query customer data with plain SQL.
- 03 Load Events and Incidents into a warehouse to correlate deploys, alerts, and outages on one timeline for post-incident review.
- 04 Pull the Hosts inventory into a CMDB or database for asset tracking, tag hygiene, and cost allocation across teams.
Common sync patterns
React to changes on either side in near real time
Updates in Datadog arrive as row changes in Google AlloyDB, and writes to Google AlloyDB propagate to Datadog within seconds, so triggers, jobs, and alerts fire without polling.
Where Datadog manages users or groups: keep identity aligned
Directory and identity records in Datadog stay matched to the users or owners table in Google AlloyDB, so provisioning and de-provisioning flow from one source.
Turn rows into the records your tools track
A new or changed row in Google AlloyDB creates or updates the matching record in Datadog, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
What you can sync between Datadog and Google AlloyDB
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Datadog objects | Google AlloyDB objects | How this pairing syncs | |
|---|---|---|---|
| Hosts Infrastructure host inventory with tags and metadata from the v1 host list API; loaded into a CMDB or warehouse for asset tracking, and hosts can be muted or unmuted via the API. | Views Curated projections used as read-only sync sources. | Hosts is specific to Datadog and Views to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Monitors Alert definitions with query, thresholds, and current state via the v1 Monitors API, which supports full create, update, and delete; Stacksync reads alert state into a warehouse or provisions and updates monitors from a config source. | Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | Monitors is specific to Datadog and Materialized Views to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Logs Log events searched via the v2 Logs search endpoint by time window and submittable through the log intake API; commonly streamed to a warehouse for retention beyond Datadog's storage period. | Indexes Keep sync key lookups fast on high-volume tables. | Logs is specific to Datadog and Indexes to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Events The event stream (deploys, alerts, comments) searched via the v2 Events endpoint and posted via POST /api/v1/events; used to correlate deploy and incident timelines or to publish deploy and pipeline events into Datadog. | Sequences ID generation relevant when external systems insert rows. | Events is specific to Datadog and Sequences to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Dashboards Dashboard definitions and widgets via the v1 Dashboards API with full CRUD; exported for backup and audit, or created and updated programmatically from a source of truth. | Replication Slots Logical replication artifacts that back log-based change capture. | Dashboards is specific to Datadog and Replication Slots to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Metrics Time-series metrics queried in aggregate windows through the query API and submitted via POST /api/v1/series; individual raw points cannot be extracted beyond retention. | Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. | Metrics is specific to Datadog and Databases to Google AlloyDB — each maps to any object or custom field on the other side. |
How changes propagate between Datadog and Google AlloyDB
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Datadog Google AlloyDB Sub-second propagation
DetectionDatadog notifies Stacksync of record changes through webhook events. Polling with time-windowed search queries on Logs and Events (timestamp cursor).
DeliveryEach detected change is applied to Google AlloyDB as a row-level write, with types converted between the two schemas.
Google AlloyDB Datadog Sub-second propagation
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
DeliveryEach detected change is written to Datadog through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Datadog: Per-endpoint limits return HTTP 429 with X-RateLimit-Limit/-Remaining/-Period/-Reset headers. Log ingestion and metric submission are not rate limited; search endpoints such as Logs and Events queries carry quotas that Datadog Support can raise.
- Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
What ships with Datadog ⇄ Google AlloyDB
Connect Datadog and Google AlloyDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Datadog–Google AlloyDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Datadog or Google AlloyDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Datadog or Google AlloyDB record.
Observability
Monitoring
Track your Datadog ⇄ Google AlloyDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Datadog and Google AlloyDB.
How the Datadog and Google AlloyDB connectors work
Datadog
- Integration surface
- REST API (v1 and v2)
- Authentication
- API key (DD-API-KEY) plus an Application key (DD-APPLICATION-KEY) sent as request headers; application keys are tied to the creating user and inherit that user's permissions and authorization scopes.
- Change detection
- Polling with time-windowed search queries on Logs and Events (timestamp cursor); monitor alerts can also push via the Webhooks notification integration. No modified-date CDC on mutable objects.
- Capabilities
- read · write · webhooks
- Rate limits
- Per-endpoint limits return HTTP 429 with X-RateLimit-Limit/-Remaining/-Period/-Reset headers. Log ingestion and metric submission are not rate limited; search endpoints such as Logs and Events queries carry quotas that Datadog Support can raise.
Google AlloyDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
- Authentication
- Database credentials or IAM database authentication
- Change detection
- Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API-style rate limits; throughput is bounded by instance size
How it works
How to connect Datadog to Google AlloyDB — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Datadog and Google AlloyDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Datadog
connected
Google AlloyDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Datadog and Google AlloyDB objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Datadog ⇄ Google AlloyDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Datadog Google AlloyDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Datadog and Google AlloyDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Datadog and Google AlloyDB: authenticate both systems, choose the objects to sync (such as Datadog's Hosts and Monitors), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Google AlloyDB: It supports PostgreSQL logical replication, enabling log-based change capture from the write-ahead log. Datadog: Application keys inherit the creating user's permissions and authorization scopes; a key missing a required scope returns 403 even when the API key is valid. Stacksync's field mapping accounts for these differences between Datadog and Google AlloyDB without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Datadog and Google AlloyDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Datadog and Google AlloyDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Datadog–Google AlloyDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Datadog and Google AlloyDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Datadog: Polling with time-windowed search queries on Logs and Events (timestamp cursor); monitor alerts can also push via the Webhooks notification integration. No modified-date CDC on mutable objects. On Google AlloyDB: Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams trust Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 326 integrations available for Datadog and Google AlloyDB.
Popular · 6 of 326
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Datadog ⇄ IBM Informix -
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Datadog ⇄ InterSystems IRIS -
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Google AlloyDB ⇄ Ldap -
Google AlloyDB ⇄ Jms
No integrations match .
